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Title

Defining User Profile to Improve Knowledge Extraction in a Digital Library of Scientific Documents

Author

Roc?o Abascal-Mena, B?atrice Rumpler, Suela Berisha-Boh?

Citation

Vol. 6  No. 7  pp. 100-107

Abstract

Annotation is a key way in which documents grow and increase in value. This paper explores the possibility to use concepts extracted from documents by using a Natural Language Processing tool to characterize the content of digital theses. Then, using the results of the study, the paper explores the use of annotated theses in order to access to pertinent information stored in these documents and to extract knowledge by defining different user’s profiles.

Keywords

Annotation, Digital Library, User profile, Case-Based Reasoning

URL

http://paper.ijcsns.org/07_book/200607/200607A16.pdf